Dr. Frank Duzaar

Professor

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Biography

Frank Duzaar is a retired full professor at Friedrich-Alexander University Erlangen-Nürnberg, where he has been active in the Department of Data Science. He has extensive experience in various aspects of mathematical analysis, particularly concerning nonlinear partial differential equations. Duzaar's research interests also encompass elliptic and parabolic problems, measure theory, and the regularity of solutions in calculus of variations. He has published numerous articles in prestigious journals like the SIAM Journal and the Journal of Functional Analysis, contributing significantly to the fields of mathematics and applied analysis. His educational background includes a diploma in Physics and a PhD from Heinrich-Heine University Düsseldorf, followed by a habilitation in Mathematics. Throughout his career, Duzaar has held various academic positions and led multiple research projects, focusing on stability issues and variational methods. After a tenure lasting over two decades, he now contributes to academia as a visiting professor at Paris Lodron University Salzburg, sharing his expertise and continuing his research endeavors.

Research Interests

Experience

Full Professor (C4)

2000-05-01 — 2023-03-31

Friedrich-Alexander University Erlangen-Nürnberg • Erlangen, Germany

Served as a full professor in the Department of Data Science, focusing on nonlinear equations and mathematical analysis.

Associate Professor (C3)

1995-10-01 — 2000-04-30

Humboldt University of Berlin • Berlin, Germany

Engaged in teaching and research in mathematics, particularly in nonlinear analysis.

Associate Professor (C2)

1993-05-01 — 1995-09-30

Rheinische Friedrich-Wilhelms-University Bonn • Bonn, Germany

Contributed to the mathematics curriculum and research initiatives.

Requirements for Friedrich-Alexander-Universität Erlangen-Nürnberg

Master Program
Requirements
GPA Requirement
Required:2.5
TOEFL
Total
Required:85
IELTS
Overall
Required:5
Prerequisites
Bachelor's degree in Computer Science or a closely related subject Proof of relevant subject-specific knowledge (approx. 120 ECTS in CS modules)
Application Checklist
  • Bachelor's degree certificate
  • Transcript of Records
  • Secondary school leaving certificate
  • CV
  • Letter of Motivation
Specialization Notes

Department of Computer Science. Program involves a Qualification Assessment Process (QAP).